Lead AI Engineer (LLM G Document AI)

About the job

Role Summary We’re looking for a hands-on Lead AI Engineer (6–10 years) who can: - Lead design and delivery of LLM G Document AI solutions end-to-end - Own AI services in production (APIs, pipelines, monitoring) - Mentor a team of AI engineers and work directly with clients (US & India) Key Responsibilities - Own the end-to-end lifecycle of AI features – from requirement understanding and solution design to development, deployment and monitoring. - Build LLM / RAG-based solutions using vector databases (e.g., pgvector, FAISS, Chroma, OpenSearch) for search, QA, extraction and summarization over documents. - Develop Document AI models / pipelines for OCR post-processing, entity / key–value extraction, classification and layout / table understanding. - Deploy models as scalable APIs / microservices in cloud and on-prem environments using Python, Docker and CI / CD. - Work directly with client stakeholders to refine requirements, present solutions and handle reviews / clarifications. - Act as technical lead on 2–3 AI projects, guide the team on architecture, design and best practices. - Mentor junior ML engineers via code reviews, design discussions and technical coaching. - Design with security, privacy and cost in mind, especially for data-sensitive domains (BFSI, healthcare, legal, HR). Must-Have Requirements Experience - 6–10 years total experience, including 4+ years in AI / DL / NLP in production environments. Technical Skills - Strong in Python and core CS fundamentals (data structures, algorithms, clean code). - Hands-on with AI / NLP / LLMs – classification, NER, QA, summarization, document understanding. - Experience with some of: PyTorch / TensorFlow / Hugging Face / LangChain / LlamaIndex / spaCy. - Built and deployed RESTful ML services / APIs integrated with web or mobile applications. - Worked with Docker and CI / CD pipelines; experience of AWS or GCP. - Good SQL skills and experience with at least one RDBMS (PostgreSQL / MySQL). - Understanding of MLOps in production – monitoring, logging, model versioning, rollback, performance & cost optimisation. Soft Skills - Excellent spoken and written English; able to explain complex ideas to non-technical stakeholders. - Comfortable interacting with international clients and leading requirement/review calls. - Strong ownership mindset and ability to lead and mentor junior engineers. - Willingness to work with partial US time-zone overlaps for key meetings when required. Good-to-Have - Experience in Logistics, Legal, HR / Recruitment, Healthcare, BFSI, Education, Engineering / Plant drawings. - Exposure to Vision Transformers / advanced CV for document layout and OCR enhancement. - Experience with experiment tracking tools (MLflow, DVC, WCB, etc.). - Exposure to security & compliance (CIS, SOC2, GDPR, HIPAA, PCI-DSS, ITIL). - Experience with on-prem / VPC-isolated deployments and data-sensitive environments. - Knowledge of a systems language (Go / Rust / C++ / Scala) is a plus, not mandatory. Education - Bachelor’s degree in Computer Science / Engineering / related field (mandatory). - Master’s degree is a plus.

Requirements

• Python
• AI
• NLP
• Document AI

Qualifications

• Bachelor’s degree in Computer Science / Engineering

Preferred Technologies

• Python
• AI
• NLP
• Document AI

About the company

iTech India Pvt. Ltd. (US HQ, India Offshore Center)